{"id":"W4309000240","doi":"10.5539/jas.v14n12p176","title":"Reviewer Acknowledgements for Journal of Agricultural Science, Vol. 14, No. 12","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Library science; Regional science; Computer science; Sociology; History; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004442658,0.0001722237,0.0005079033,0.0003473699,0.0008292458,0.0001196772,0.001077922,0.00002967678,0.0007978103],"category_scores_gemma":[0.04433183,0.00007447934,0.0003502497,0.00195653,0.0007193288,0.001035826,0.0002846384,0.0005791486,0.00005278975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008807883,"about_ca_system_score_gemma":0.001548482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002125223,"about_ca_topic_score_gemma":0.000001648382,"domain_scores_codex":[0.993969,0.00007066564,0.0008490831,0.0002367262,0.004209589,0.0006649785],"domain_scores_gemma":[0.9534828,0.0001231961,0.0009150321,0.0001499047,0.04422328,0.001105776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002852792,0.0009836946,0.004174444,0.0001161809,0.000143693,0.00006855104,0.0003618376,0.0000246975,0.103942,0.00004316731,0.8800793,0.009777165],"study_design_scores_gemma":[0.006143085,0.009727064,0.7901868,0.0007048989,0.0003312336,0.001438468,0.001533707,0.00002194401,0.01016577,0.0001054864,0.1793485,0.0002930024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799832,0.001858233,0.00004392753,0.001114237,0.0136571,0.0006665831,0.00001102146,0.000006660645,0.002659089],"genre_scores_gemma":[0.9700876,0.0007316193,0.004229589,0.0004263706,0.005251307,0.00002362864,0.000005854959,0.00000996422,0.01923406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7860124,"threshold_uncertainty_score":0.9637182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03279630776608127,"score_gpt":0.3421160483029404,"score_spread":0.3093197405368591,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}